2961
3229
Test Test
96
Supervised Classification
14174
sklearn.pipeline.Pipeline(Preprocessing=sklearn.compose._column_transformer.ColumnTransformer(categorical=sklearn.preprocessing._encoders.OneHotEncoder,continuous=sklearn.impute._base.SimpleImputer),Classifier=sklearn.ensemble._forest.RandomForestClassifier)(1)
2408
Python_3.8.18. Sklearn_1.3.2. NumPy_1.23.5. SciPy_1.10.1.
bootstrap
true
44
ccp_alpha
0.0
44
class_weight
null
44
criterion
"gini"
44
max_depth
null
44
max_features
"sqrt"
44
max_leaf_nodes
null
44
max_samples
null
44
min_impurity_decrease
0.0
44
min_samples_leaf
1
44
min_samples_split
2
44
min_weight_fraction_leaf
0.0
44
n_estimators
10
44
n_jobs
null
44
oob_score
false
44
random_state
17295
44
verbose
0
44
warm_start
false
44
add_indicator
false
80
copy
true
80
fill_value
null
80
keep_empty_features
false
80
missing_values
NaN
80
strategy
"median"
80
categories
"auto"
118
drop
null
118
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
118
feature_name_combiner
"concat"
118
handle_unknown
"ignore"
118
max_categories
null
118
min_frequency
null
118
sparse
false
118
sparse_output
true
118
memory
null
14174
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "Preprocessing", "step_name": "Preprocessing"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "Classifier", "step_name": "Classifier"}}]
14174
verbose
false
14174
n_jobs
null
14175
remainder
"drop"
14175
sparse_threshold
0.3
14175
transformer_weights
null
14175
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "categorical", "step_name": "categorical", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cat"}}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "continuous", "step_name": "continuous", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cont"}}}]
14175
verbose
false
14175
verbose_feature_names_out
true
14175
openml-python
Sklearn_1.3.2.
16
credit-a
https://www.openml.org/data/download/29/dataset_29_credit-a.arff
-1
7593
description
https://test.openml.org/data/download/7593/description.xml
-1
7594
predictions
https://test.openml.org/data/download/7594/predictions.arff
area_under_roc_curve
0.9452262478619187 [0.945226,0.945226]
average_cost
0
f_measure
0.872291353745443 [0.868778,0.875536]
kappa
0.7443594423517533
kb_relative_information_score
0.6272696550296953
mean_absolute_error
0.19911894273127786
mean_prior_absolute_error
0.497822820911105
weighted_recall
0.8722466960352423 [0.880734,0.864407]
number_of_instances
227 [109,118]
precision
0.8726407092237392 [0.857143,0.886957]
predictive_accuracy
0.8722466960352423
prior_entropy
1.0024462539766308
relative_absolute_error
0.3999795396419443
root_mean_prior_squared_error
0.5008375893008056
root_mean_squared_error
0.3032859687730798
root_relative_squared_error
0.6055575205456968
total_cost
0
unweighted_recall
0.8725703623075727 [0.880734,0.864407]
area_under_roc_curve
0.9452262478619187 [0.945226,0.945226]
average_cost
0
f_measure
0.872291353745443 [0.868778,0.875536]
kappa
0.7443594423517533
kb_relative_information_score
0.6272696550296953
mean_absolute_error
0.19911894273127786
mean_prior_absolute_error
0.497822820911105
weighted_recall
0.8722466960352423 [0.880734,0.864407]
number_of_instances
227 [109,118]
precision
0.8726407092237392 [0.857143,0.886957]
predictive_accuracy
0.8722466960352423
prior_entropy
1.0024462539766308
relative_absolute_error
0.3999795396419443
root_mean_prior_squared_error
0.5008375893008056
root_mean_squared_error
0.3032859687730798
root_relative_squared_error
0.6055575205456968
total_cost
0
usercpu_time_millis
28.146400000004235
usercpu_time_millis_testing
5.876999999998134
usercpu_time_millis_training
22.2694000000061
wall_clock_time_millis
28.150558471679688
wall_clock_time_millis_training
22.27020263671875
wall_clock_time_millis_testing
5.8803558349609375
unweighted_recall
0.8725703623075727 [0.880734,0.864407]